uid=HFR,o=lter,dc=ecoinformatics,dc=org all public read doi:10.6073/pasta/a06237e33d9e8c2d9a530c1349d319a8 Kristen DeAngelis https://orcid.org/0000-0002-5585-4551 Ashley Eng https://orcid.org/0000-0001-6470-3803 Researcher 2023 English

Adaptation of soil microbes due to warming from climate change has been observed, but it remains unknown what microbial growth traits are adaptive to warming. We studied bacterial isolates from the Harvard Forest Long-Term Ecological Research site, where field soils have been experimentally heated to 5ºC above ambient temperature with unheated controls for thirty years. We hypothesized that Alphaproteobacteria from warmed plots have (1) less temperature sensitive growth rates; (2) higher optimum growth temperatures; and (3) higher maximum growth temperatures compared to isolates from control plots. We made high-throughput measurements of bacterial growth in liquid cultures over time and across temperatures from 22-37ºC in 2-3ºC increments. We estimated growth rates by fitting Gompertz models to the growth data. Temperature sensitivity of growth rate, optimum growth temperature, and maximum growth temperature were estimated by the Ratkowsky 1983 model and a modified Macromolecular Rate Theory (MMRT) model. To determine evidence of adaptation, we ran phylogenetic generalized least squares tests on isolates from warmed and control soils. Our results showed evidence of adaptation of higher optimum growth temperature of bacterial isolates from heated soils. However, we observed no evidence of adaptation of temperature sensitivity of growth and maximum growth temperature. Our project begins to capture the shape of the temperature response curves, but illustrates that the relationship between growth and temperature is complex and cannot be limited to a single point in the biokinetic range.

bacteria climate change growth microbes soil soil warming LTER controlled vocabulary populations LTER core area Harvard Forest HFR LTER USA HFR default

This dataset is released to the public under Creative Commons CC0 1.0 (No Rights Reserved). Please keep the dataset creators informed of any plans to use the dataset. Consultation with the original investigators is strongly encouraged. Publications and data products that make use of the dataset should include proper acknowledgement.

Creative Commons Zero v1.0 Universal https://spdx.org/licenses/CC0-1.0.html CC0-1.0 https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf438 Prospect Hill Tract (Harvard Forest). Coordinates based on WGS84 datum. -72.18 -72.18 +42.54 +42.54 365 365 meter 2013 2023 class Alphaproteobacteria complete Information Manager Harvard Forest

324 North Main Street Petersham MA 01366 USA

(978) 724-3302 hf-im@lists.fas.harvard.edu Harvard Forest

324 North Main Street Petersham MA 01366 USA

(978) 724-3302 (978) 724-3595 https://harvardforest.fas.harvard.edu

Bacteria were isolated from soils and cryopreserved at -80ºC. Isolates were grown in 10% tryptic soy broth. Absorbance (optical density at 600 nm) was measured over time between 22-37ºC in increments of 2-3ºC. Model fitting and phylogenetic comparative methods were used to determine whether adaptation of temperature sensitivity of growth, optimum growth temperature, and maximum growth temperature occurred.

Harvard Forest

324 North Main Street Petersham MA 01366 USA

(978) 724-3302 (978) 724-3595 https://harvardforest.fas.harvard.edu https://ror.org/059cpzx98 pointOfContact The Harvard Forest Long-Term Ecological Research (LTER) program examines ecological dynamics in the New England region resulting from natural disturbances, environmental change, and human impacts. National Science Foundation LTER grants: DEB-8811764, DEB-9411975, DEB-0080592, DEB-0620443, DEB-1237491, DEB-1832210. Other funding: NSF grant DEB-1749206. hf438-01-raw-growth-curve-data.csv raw growth curve data hf438-01-raw-growth-curve-data.csv 6063642 baaed00ade8c33798e45e73c0a39b5de 1 \r\n column , https://harvardforest.fas.harvard.edu/data/p43/hf438/hf438-01-raw-growth-curve-data.csv runID run identifier run identifier day day on which optical density at 600 nm reading bacterial liquid cultures in 96-well plate was taken dimensionless 1 whole NA missing value hour hour at which optical density at 600 nm reading bacterial liquid cultures in 96-well plate was taken dimensionless 1 whole NA missing value minute minute at which optical density at 600 nm reading bacterial liquid cultures in 96-well plate was taken dimensionless 1 whole NA missing value second second at which optical density at 600 nm reading bacterial liquid cultures in 96-well plate was taken dimensionless 1 whole NA missing value temperature_C temperature of plate reader at each time point celsius 0.1 real NA missing value A1 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